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Generator life prediction algorithm based on support vector base

A technology of life prediction and support vectors, which is applied in computing, electrical digital data processing, computer-aided design, etc., can solve problems such as replacement, scrapping, waste, etc., and achieve the effects of reducing maintenance costs, excellent effects, and good life prediction effects

Inactive Publication Date: 2018-05-04
SHENYANG AIRCRAFT DESIGN INST AVIATION IND CORP OF CHINA
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Today's generator production units generally require that after a certain period of flight, the generator must be removed and sent to the infield for renovation, or after a certain period of work, regardless of the actual performance and status, it is artificially considered that the life span has expired. Replace and scrap, which creates huge waste

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  • Generator life prediction algorithm based on support vector base
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  • Generator life prediction algorithm based on support vector base

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Embodiment Construction

[0025] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below in conjunction with the drawings in the embodiments of the present invention.

[0026] It should be noted that: in the drawings, the same or similar symbols represent the same or similar elements or elements with the same or similar functions. The described embodiments are part of the embodiments of the present invention, but not all of the embodiments. In the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0027] In this article, "schematic" means "serving as an example, examp...

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Abstract

The invention relates to the technical field of aviation generator testing, in particular provides a generator life prediction algorithm based on support vector base. According to the algorithm, structural risk minimization principle is adopted to replace the empirical risk minimization principle for generator life prediction, the problem of sample learning under limited data can be solved better,the idea of kernel function is adopted, the problem of nonlinear space is transformed into that of high dimensional feature space, the original problem can be solved by linear classification method in high dimensional feature space, the algorithm complexity is reduced, the maximal spacing principle is adopted, so that the effect of processing of classification samples is better, the effect of life prediction is good, and it is achieved that the maintenance of the aviation generator changes from the ex post maintenance or regular maintenance to the on-condition maintenance, so that the maintenance cost is lowed.

Description

technical field [0001] The invention relates to the field of aviation generator test technology, in particular to a generator life prediction algorithm based on support vector bases. Background technique [0002] As one of the important airborne equipment on the aircraft, the real-time prediction and analysis of the health status of the generator and the timely detection of possible faults are of great practical significance and economic value to ensure the safe flight of the aircraft. [0003] Today's generator production units generally require that after a certain period of flight, the generator must be removed and sent to the infield for refurbishment, or after a certain period of work, regardless of the actual performance and status, it is artificially considered that the lifespan has expired. Replacement is scrapped, which causes huge waste. Contents of the invention [0004] In order to overcome at least one defect in the above-mentioned prior art, the present inve...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20G06F2119/04
Inventor 周莹莹董世良刘海港聂学伟张波
Owner SHENYANG AIRCRAFT DESIGN INST AVIATION IND CORP OF CHINA
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